3 papers
cs.CV2026
LiFlow: Flow Matching for 3D LiDAR Scene Completion
Andrea Matteazzi, Dietmar Tutsch
In autonomous driving scenarios, the collected LiDAR point clouds can be challenged by occlusion and long-range sparsity, limiting the perception of autonomous driving systems. Sce…
cs.CV2025
Adverse Weather Conditions Augmentation of LiDAR Scenes with Latent Diffusion Models
Andrea Matteazzi, Pascal Colling, Michael Arnold +1
LiDAR scenes constitute a fundamental source for several autonomous driving applications. Despite the existence of several datasets, scenes from adverse weather conditions are rare…
cs.CV2024
A Preprocessing and Postprocessing Voxel-based Method for LiDAR Semantic Segmentation Improvement in Long Distance
Andrea Matteazzi, Pascal Colling, Michael Arnold +1
In recent years considerable research in LiDAR semantic segmentation was conducted, introducing several new state of the art models. However, most research focuses on single-scan p…